Development of EST-SSR markers and association mapping with floral traits in Syringa oblata

• Published in: BMC plant biology Vol. 20; no. 1; p. 436
• Main Authors: Yang, Yunyao, He, Ruiqing, Zheng, Jian, Hu, Zenghui, Wu, Jing, Leng, Pingsheng
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 21.09.2020; BioMed Central; BMC
• Subjects: Analysis; Architecture; Association mapping; Biodiversity; Chromosome Mapping; EST-SSR; Expressed Sequence Tags; Flowers - genetics; Gene mapping; Genetic Association Studies; Genetic diversity; Genetic improvement; Genetic markers; Genetic Markers - genetics; Genetic Variation - genetics; Genomes; Markers; Microsatellite Repeats - genetics; Nucleotides; Ornamental plants; Plant breeding; Polymorphism; Population; Population genetics; Population structure; Quantitative Trait, Heritable; Subgroups; Syringa; Syringa - anatomy & histology; Syringa - genetics; Syringa oblata; Woody plants; China; Association mapping; Population structure; Genetic diversity; Syringa oblata; EST-SSR
• ISSN: 1471-2229; 1471-2229
• DOI: 10.1186/s12870-020-02652-5

Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata. In this study, a total of 10,988 SSRs were obtained from 9864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3611). A set of 2042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. Two hundred thirty-four alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.